{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "不管你是否看NBA,都应该听说过科比布莱恩特这个名字，最接近乔丹的篮球运动员。科比于1996年以13顺位的选秀顺位进入联盟，一生都效力于洛杉矶湖人队。科比于2016年宣布退役，职业生涯获奖无数，5次NBA总冠军，2次FMVP，1次MVP,4次AMVP，18次全明星，生涯总得分超33000分，未来的名人堂球员。在今年的1月26日，科比乘坐的私人飞机失事，科比和二女儿吉安娜永远地离开了我们。\n",
    "\n",
    "\n",
    "该数据集分析目标：\n",
    "\n",
    "- 读取科比职业生涯数据集\n",
    "- 对该数据集进行探索性分析\n",
    "- 建立集成算法模型\n",
    "- 模型调参，选择最优的模型参数\n",
    "- 对测试集进行预测"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.读取数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#导入此数据分析任务中要使用的库\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns;sns.set()\n",
    "%matplotlib inline\n",
    "\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import KFold\n",
    "\n",
    "#忽略掉相关的警告提醒消息\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>action_type</th>\n",
       "      <th>combined_shot_type</th>\n",
       "      <th>game_event_id</th>\n",
       "      <th>game_id</th>\n",
       "      <th>lat</th>\n",
       "      <th>loc_x</th>\n",
       "      <th>loc_y</th>\n",
       "      <th>lon</th>\n",
       "      <th>minutes_remaining</th>\n",
       "      <th>period</th>\n",
       "      <th>...</th>\n",
       "      <th>shot_type</th>\n",
       "      <th>shot_zone_area</th>\n",
       "      <th>shot_zone_basic</th>\n",
       "      <th>shot_zone_range</th>\n",
       "      <th>team_id</th>\n",
       "      <th>team_name</th>\n",
       "      <th>game_date</th>\n",
       "      <th>matchup</th>\n",
       "      <th>opponent</th>\n",
       "      <th>shot_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>10</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.9723</td>\n",
       "      <td>167</td>\n",
       "      <td>72</td>\n",
       "      <td>-118.1028</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Right Side(R)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>12</td>\n",
       "      <td>20000012</td>\n",
       "      <td>34.0443</td>\n",
       "      <td>-157</td>\n",
       "      <td>0</td>\n",
       "      <td>-118.4268</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Left Side(L)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>8-16 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>35</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.9093</td>\n",
       "      <td>-101</td>\n",
       "      <td>135</td>\n",
       "      <td>-118.3708</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Left Side Center(LC)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>43</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.8693</td>\n",
       "      <td>138</td>\n",
       "      <td>175</td>\n",
       "      <td>-118.1318</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Right Side Center(RC)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Driving Dunk Shot</td>\n",
       "      <td>Dunk</td>\n",
       "      <td>155</td>\n",
       "      <td>20000012</td>\n",
       "      <td>34.0443</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-118.2698</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Restricted Area</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         action_type combined_shot_type  game_event_id   game_id      lat  \\\n",
       "0          Jump Shot          Jump Shot             10  20000012  33.9723   \n",
       "1          Jump Shot          Jump Shot             12  20000012  34.0443   \n",
       "2          Jump Shot          Jump Shot             35  20000012  33.9093   \n",
       "3          Jump Shot          Jump Shot             43  20000012  33.8693   \n",
       "4  Driving Dunk Shot               Dunk            155  20000012  34.0443   \n",
       "\n",
       "   loc_x  loc_y       lon  minutes_remaining  period  ...       shot_type  \\\n",
       "0    167     72 -118.1028                 10       1  ...  2PT Field Goal   \n",
       "1   -157      0 -118.4268                 10       1  ...  2PT Field Goal   \n",
       "2   -101    135 -118.3708                  7       1  ...  2PT Field Goal   \n",
       "3    138    175 -118.1318                  6       1  ...  2PT Field Goal   \n",
       "4      0      0 -118.2698                  6       2  ...  2PT Field Goal   \n",
       "\n",
       "          shot_zone_area  shot_zone_basic  shot_zone_range     team_id  \\\n",
       "0          Right Side(R)        Mid-Range        16-24 ft.  1610612747   \n",
       "1           Left Side(L)        Mid-Range         8-16 ft.  1610612747   \n",
       "2   Left Side Center(LC)        Mid-Range        16-24 ft.  1610612747   \n",
       "3  Right Side Center(RC)        Mid-Range        16-24 ft.  1610612747   \n",
       "4              Center(C)  Restricted Area  Less Than 8 ft.  1610612747   \n",
       "\n",
       "            team_name   game_date    matchup opponent  shot_id  \n",
       "0  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        1  \n",
       "1  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        2  \n",
       "2  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        3  \n",
       "3  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        4  \n",
       "4  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        5  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw = pd.read_csv('D:\\\\Py_dataset\\\\kobe_data.csv')\n",
    "raw.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(30697, 25)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 30697 entries, 0 to 30696\n",
      "Data columns (total 25 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   action_type         30697 non-null  object \n",
      " 1   combined_shot_type  30697 non-null  object \n",
      " 2   game_event_id       30697 non-null  int64  \n",
      " 3   game_id             30697 non-null  int64  \n",
      " 4   lat                 30697 non-null  float64\n",
      " 5   loc_x               30697 non-null  int64  \n",
      " 6   loc_y               30697 non-null  int64  \n",
      " 7   lon                 30697 non-null  float64\n",
      " 8   minutes_remaining   30697 non-null  int64  \n",
      " 9   period              30697 non-null  int64  \n",
      " 10  playoffs            30697 non-null  int64  \n",
      " 11  season              30697 non-null  object \n",
      " 12  seconds_remaining   30697 non-null  int64  \n",
      " 13  shot_distance       30697 non-null  int64  \n",
      " 14  shot_made_flag      25697 non-null  float64\n",
      " 15  shot_type           30697 non-null  object \n",
      " 16  shot_zone_area      30697 non-null  object \n",
      " 17  shot_zone_basic     30697 non-null  object \n",
      " 18  shot_zone_range     30697 non-null  object \n",
      " 19  team_id             30697 non-null  int64  \n",
      " 20  team_name           30697 non-null  object \n",
      " 21  game_date           30697 non-null  object \n",
      " 22  matchup             30697 non-null  object \n",
      " 23  opponent            30697 non-null  object \n",
      " 24  shot_id             30697 non-null  int64  \n",
      "dtypes: float64(3), int64(11), object(11)\n",
      "memory usage: 5.9+ MB\n"
     ]
    }
   ],
   "source": [
    "raw.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由上述结果可以看出，该数据集共有25个特征，其中24个特征都是完整的，只有shot_made_flag这个特征是存在缺失值的。所以接下来我们会将数据集切分为两部分，含有shot_made_flag的数据集作为训练集，确实shot_made_flag的数据集作为测试集。通过对训练集进行建模，来预测测试集上的shot_made_flag值。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>unique</th>\n",
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       "      <th>freq</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
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       "      <th>action_type</th>\n",
       "      <td>30697</td>\n",
       "      <td>57</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>18880</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>combined_shot_type</th>\n",
       "      <td>30697</td>\n",
       "      <td>6</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>23485</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>game_event_id</th>\n",
       "      <td>30697</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>249.191</td>\n",
       "      <td>150.004</td>\n",
       "      <td>2</td>\n",
       "      <td>110</td>\n",
       "      <td>253</td>\n",
       "      <td>368</td>\n",
       "      <td>659</td>\n",
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       "    <tr>\n",
       "      <th>game_id</th>\n",
       "      <td>30697</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.47641e+07</td>\n",
       "      <td>7.75517e+06</td>\n",
       "      <td>2e+07</td>\n",
       "      <td>2.05001e+07</td>\n",
       "      <td>2.09004e+07</td>\n",
       "      <td>2.96005e+07</td>\n",
       "      <td>4.99001e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lat</th>\n",
       "      <td>30697</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.9532</td>\n",
       "      <td>0.0877914</td>\n",
       "      <td>33.2533</td>\n",
       "      <td>33.8843</td>\n",
       "      <td>33.9703</td>\n",
       "      <td>34.0403</td>\n",
       "      <td>34.0883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>loc_x</th>\n",
       "      <td>30697</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.1105</td>\n",
       "      <td>110.125</td>\n",
       "      <td>-250</td>\n",
       "      <td>-68</td>\n",
       "      <td>0</td>\n",
       "      <td>95</td>\n",
       "      <td>248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>loc_y</th>\n",
       "      <td>30697</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>91.1075</td>\n",
       "      <td>87.7914</td>\n",
       "      <td>-44</td>\n",
       "      <td>4</td>\n",
       "      <td>74</td>\n",
       "      <td>160</td>\n",
       "      <td>791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lon</th>\n",
       "      <td>30697</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-118.263</td>\n",
       "      <td>0.110125</td>\n",
       "      <td>-118.52</td>\n",
       "      <td>-118.338</td>\n",
       "      <td>-118.27</td>\n",
       "      <td>-118.175</td>\n",
       "      <td>-118.022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_remaining</th>\n",
       "      <td>30697</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.88562</td>\n",
       "      <td>3.4499</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>period</th>\n",
       "      <td>30697</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.51943</td>\n",
       "      <td>1.15367</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>playoffs</th>\n",
       "      <td>30697</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.146562</td>\n",
       "      <td>0.353674</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>season</th>\n",
       "      <td>30697</td>\n",
       "      <td>20</td>\n",
       "      <td>2005-06</td>\n",
       "      <td>2318</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>seconds_remaining</th>\n",
       "      <td>30697</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.3651</td>\n",
       "      <td>17.4789</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>28</td>\n",
       "      <td>43</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shot_distance</th>\n",
       "      <td>30697</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.4374</td>\n",
       "      <td>9.37419</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>15</td>\n",
       "      <td>21</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shot_made_flag</th>\n",
       "      <td>25697</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.446161</td>\n",
       "      <td>0.497103</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shot_type</th>\n",
       "      <td>30697</td>\n",
       "      <td>2</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>24271</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shot_zone_area</th>\n",
       "      <td>30697</td>\n",
       "      <td>6</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>13455</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shot_zone_basic</th>\n",
       "      <td>30697</td>\n",
       "      <td>7</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>12625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shot_zone_range</th>\n",
       "      <td>30697</td>\n",
       "      <td>5</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>9398</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>team_id</th>\n",
       "      <td>30697</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.61061e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>1.61061e+09</td>\n",
       "      <td>1.61061e+09</td>\n",
       "      <td>1.61061e+09</td>\n",
       "      <td>1.61061e+09</td>\n",
       "      <td>1.61061e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>team_name</th>\n",
       "      <td>30697</td>\n",
       "      <td>1</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>30697</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>game_date</th>\n",
       "      <td>30697</td>\n",
       "      <td>1559</td>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>matchup</th>\n",
       "      <td>30697</td>\n",
       "      <td>74</td>\n",
       "      <td>LAL @ SAS</td>\n",
       "      <td>1020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>opponent</th>\n",
       "      <td>30697</td>\n",
       "      <td>33</td>\n",
       "      <td>SAS</td>\n",
       "      <td>1978</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shot_id</th>\n",
       "      <td>30697</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15349</td>\n",
       "      <td>8861.6</td>\n",
       "      <td>1</td>\n",
       "      <td>7675</td>\n",
       "      <td>15349</td>\n",
       "      <td>23023</td>\n",
       "      <td>30697</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    count unique                 top   freq         mean  \\\n",
       "action_type         30697     57           Jump Shot  18880          NaN   \n",
       "combined_shot_type  30697      6           Jump Shot  23485          NaN   \n",
       "game_event_id       30697    NaN                 NaN    NaN      249.191   \n",
       "game_id             30697    NaN                 NaN    NaN  2.47641e+07   \n",
       "lat                 30697    NaN                 NaN    NaN      33.9532   \n",
       "loc_x               30697    NaN                 NaN    NaN       7.1105   \n",
       "loc_y               30697    NaN                 NaN    NaN      91.1075   \n",
       "lon                 30697    NaN                 NaN    NaN     -118.263   \n",
       "minutes_remaining   30697    NaN                 NaN    NaN      4.88562   \n",
       "period              30697    NaN                 NaN    NaN      2.51943   \n",
       "playoffs            30697    NaN                 NaN    NaN     0.146562   \n",
       "season              30697     20             2005-06   2318          NaN   \n",
       "seconds_remaining   30697    NaN                 NaN    NaN      28.3651   \n",
       "shot_distance       30697    NaN                 NaN    NaN      13.4374   \n",
       "shot_made_flag      25697    NaN                 NaN    NaN     0.446161   \n",
       "shot_type           30697      2      2PT Field Goal  24271          NaN   \n",
       "shot_zone_area      30697      6           Center(C)  13455          NaN   \n",
       "shot_zone_basic     30697      7           Mid-Range  12625          NaN   \n",
       "shot_zone_range     30697      5     Less Than 8 ft.   9398          NaN   \n",
       "team_id             30697    NaN                 NaN    NaN  1.61061e+09   \n",
       "team_name           30697      1  Los Angeles Lakers  30697          NaN   \n",
       "game_date           30697   1559          2016-04-13     50          NaN   \n",
       "matchup             30697     74           LAL @ SAS   1020          NaN   \n",
       "opponent            30697     33                 SAS   1978          NaN   \n",
       "shot_id             30697    NaN                 NaN    NaN        15349   \n",
       "\n",
       "                            std          min          25%          50%  \\\n",
       "action_type                 NaN          NaN          NaN          NaN   \n",
       "combined_shot_type          NaN          NaN          NaN          NaN   \n",
       "game_event_id           150.004            2          110          253   \n",
       "game_id             7.75517e+06        2e+07  2.05001e+07  2.09004e+07   \n",
       "lat                   0.0877914      33.2533      33.8843      33.9703   \n",
       "loc_x                   110.125         -250          -68            0   \n",
       "loc_y                   87.7914          -44            4           74   \n",
       "lon                    0.110125      -118.52     -118.338      -118.27   \n",
       "minutes_remaining        3.4499            0            2            5   \n",
       "period                  1.15367            1            1            3   \n",
       "playoffs               0.353674            0            0            0   \n",
       "season                      NaN          NaN          NaN          NaN   \n",
       "seconds_remaining       17.4789            0           13           28   \n",
       "shot_distance           9.37419            0            5           15   \n",
       "shot_made_flag         0.497103            0            0            0   \n",
       "shot_type                   NaN          NaN          NaN          NaN   \n",
       "shot_zone_area              NaN          NaN          NaN          NaN   \n",
       "shot_zone_basic             NaN          NaN          NaN          NaN   \n",
       "shot_zone_range             NaN          NaN          NaN          NaN   \n",
       "team_id                       0  1.61061e+09  1.61061e+09  1.61061e+09   \n",
       "team_name                   NaN          NaN          NaN          NaN   \n",
       "game_date                   NaN          NaN          NaN          NaN   \n",
       "matchup                     NaN          NaN          NaN          NaN   \n",
       "opponent                    NaN          NaN          NaN          NaN   \n",
       "shot_id                  8861.6            1         7675        15349   \n",
       "\n",
       "                            75%          max  \n",
       "action_type                 NaN          NaN  \n",
       "combined_shot_type          NaN          NaN  \n",
       "game_event_id               368          659  \n",
       "game_id             2.96005e+07  4.99001e+07  \n",
       "lat                     34.0403      34.0883  \n",
       "loc_x                        95          248  \n",
       "loc_y                       160          791  \n",
       "lon                    -118.175     -118.022  \n",
       "minutes_remaining             8           11  \n",
       "period                        3            7  \n",
       "playoffs                      0            1  \n",
       "season                      NaN          NaN  \n",
       "seconds_remaining            43           59  \n",
       "shot_distance                21           79  \n",
       "shot_made_flag                1            1  \n",
       "shot_type                   NaN          NaN  \n",
       "shot_zone_area              NaN          NaN  \n",
       "shot_zone_basic             NaN          NaN  \n",
       "shot_zone_range             NaN          NaN  \n",
       "team_id             1.61061e+09  1.61061e+09  \n",
       "team_name                   NaN          NaN  \n",
       "game_date                   NaN          NaN  \n",
       "matchup                     NaN          NaN  \n",
       "opponent                    NaN          NaN  \n",
       "shot_id                   23023        30697  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw.describe(include = 'all').T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.数据探索性分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.1单变量分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "#正常显示中文标签\n",
    "plt.rcParams['font.sans-serif']=['SimHei']\n",
    "#用来正常显示负号\n",
    "plt.rcParams['axes.unicode_minus']=False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '科比职业生涯不同出手类型的次数统计')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#查看科比出手类型的分布\n",
    "plt.figure(figsize = (10,6))\n",
    "raw['combined_shot_type'].value_counts().plot(kind = 'bar')\n",
    "plt.xlabel('出手类型');plt.ylabel('出手次数');plt.title('科比职业生涯不同出手类型的次数统计')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由上图可知，科比最喜欢的进攻方式就是跳投，紧接着是上篮。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0, 1]), <a list of 2 Text major ticklabel objects>)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#查看科比两分球，三分球的出手数\n",
    "plt.figure(figsize = (8,6))\n",
    "raw['shot_type'].value_counts().plot(kind = 'bar')\n",
    "plt.xlabel('远投还是中距离');plt.ylabel('出手次数');plt.title('科比职业生涯远投和中距离的出手数')\n",
    "plt.xticks(rotation = 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由上图可以看出，科比的进攻手段主要以中距离进攻为主，像我们比较熟悉的急停跳投，翻身跳投，干拔跳投等。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '科比出手距离的分布')"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#查看科比出手距离的分布\n",
    "plt.figure(figsize = (8,6))\n",
    "raw['shot_distance'].hist(bins = 100)\n",
    "plt.xlabel('出手距离');plt.ylabel('出手次数');plt.title('科比出手距离的分布')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '科比出手距离的分布')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYAAAAEPCAYAAABLIROyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAfgklEQVR4nO3de5xVdb3/8dfMMAMiAwiSinLp8vPjtYjiZ14SsrT8ndSiu0fLtETT7GbZ5VgU1tEy+5lJR6VTgmVRB1MMDLBEBDzWSbN0/KD9ENAsuY0yAgNz+f3xXaNrNnvv2Zs9a9bervfz8eAx+7uun81jZn3W+n7X9/ut6+7uRkREsqc+7QBERCQdSgAiIhmlBCAiklFKACIiGaUEICKSUUoAIlXIzOryLBuURizy8qUEIKkxs4PM7Ewzu9PMXpGz/Mk+9t1lZkNKPM+VZnZRmbENN7Mjzey9ZnZ5vgtyH/s3mVnevy8zu87M3tXHId5kZktzli03s8l9nPew6OerzOykEuKsN7PlZjahr23l5Ud3FDLgzKwZ+CMwCtgEfAPoMLOvAHcB64CO2PY3Aavc/cexw+wCdhc4/kTgm+7+r9GinUB7bP2NwCx33xCVpwI3Ev4emoChQGcU4z+ifwdEPzGz24H9gO3AJOB9wH8Ba2JhNAHnmdkm4FfAC0BXtG4ccIqZXRCVB0Xn/EBPTMDRwMpYzCOB/YEH833naJt/Aa4ys6OBbuBGM3utu28vtA9wKjDU3dcV2UZeppQAZMC5+zYzOw54JfBv7n4rgJn9N/AL4JScXfJd7DvcvTPa71XAG9z9l7H1xe5ojwAaYuUVwLFAm7vvMrOzgLe5+zkF9m8HznX3J8zsT4QEs8Tdz8q3sZmdCIwHhgMXAFcTEt81wCzCRb3d3XdE2y8EpgA7oieFK6J9RwKPmxnAge4+LHaOeuBrwFfcvRtYa2aLgP8LnB/b7ljgVqCNkGQPBZ4xs4diIdcRrg0Xufs9Bf4P5GVACUAGXHSx2hYr1wEN7r4sumidmrNL3u7qZrYvcAlwEXBdBSF1E138C5ynEejqSTiEqtPDzWwY0FgovphhwG3uPsnMlgNzo2OsAlqAmcDvgduj7V8NHOburWZ2BdAMfAQ40d09iulvOee4FHjO3W+PLfsycL+ZfRe41N273X01MDE6xocIiexkM5sDXNLH04K8zCgBSBreBPwI2IdQlfIQ8IOoTv+zhDvdz+Ts830zu4pwMb04WvYw4W72te6+JbbtYGBS7K72QGCXmfXs9xp6/+5PBBaaWTvhYj4KGG5mf4zWNxEusEui8m+AtwHTgZ9Ey06NbT8amO/ul0XlTkIV1zTCk8Y04G/A2cBHCXfiPckFXqoq6jEV6O65+OduY2ZvBT4NHB/fyd3bonaApcC9ZvaxWAKZSHj6ODna/C30ncjkZUYJQAacu68i3EHfCBwE3AvcDNwAzOelC3zcJe5+S0/BzK4jXPhfyLPtOmBErIpoJvCUu88pEM9a4KjYsfuqAlpKqNd/nbtfbmZvBBb3VAGZ2TmEJNOjnlBNdEVUvhN4NueYCwucC+ABYI6Z/cjdz4uWdUXnaia0X1wOrDazfQhVOM9H240iJIcpREnGzA4iJLEJwG1RldIhhKeFbkJ11dnu/psiMcnLgBKApMLM9ifcQd9HqN++DjiPcCHbD2gys1OJGl7zKXDxh3BXPgdYVuDc5wCT3f2S6BzXEBppe+Q+AUB4WvmWu/8UuAd4I/B6M3sQ+G2e07z41pC7Pw+cEJ27nlDtM8PdHyn03YAVZtZJeHr5orvfZ2ZXm9nb3f3F80XtKYdH1Vc/MrNvA0+7+7XR+e4CHnP3G6Py64AFwLXAF9x9UrT8CeAYd99pZj8htLvIy5wSgKTlGuA/CY2QXyVc+K8lNNC+i1ANNIWX6sUBMLOGaF0xHcTeIspjJ9EFzt0XA4tzztHXE0DP8R9092nRE8CSnIbUm2PHW0n4W9tNqG5qB26I7rx7THT3Q2LlN8faAHp8F/hw1I7Q1rMwp+1iKvCpWPlg4KlY+Tngy+7+CzP7QoHvB6oOygQlABlwZnYy4cJ0HdFbK2a2gVAV9CVgCHC/u38j2r5nv9OBfwe+k+eY7wfuTKkRswlYVOgtIMKF/z3AkcA3gXcQksB3CN/zFjN7rITz3AbcQUiAz+euNLMzCI3p98cWHwQ83VNw9yeBJ6PiHv0UzKyJ0IZRLIHKy4QSgAw4d19qZn8gVk8ef8ffzIYSq0IhPCWcSXgv/2PuvtrMvmtmB7r7P8zs1cAtwFjCu/lDCHXmPXfJuY3AIwl1+HuIXpN8KwWqQMxsVHT8S4E3mNlfCVUqpbiEcGf9fWALoa3iDDObn/N9G+ldBXR5tLyL8Df7DuCJnLjOAGYTnp4ws+GEdo2d7t5OfoNjnwdF532YkFweLvE7SQ1TApBURNUbTYS751yD6X1x+jlwjbvfFVt2A/C7qE69C7jc3TdFx35vsXOb2QeB4wqsPgUYAXy9wPqTgNWAA0e5+zozOwZYkNNmMBT4nrvfREgYuPsZeWI5GPhzdLwe3wHmuXt7VGe/I1p+AHA9cD/wudgxriW8lXS6u/9PtPgC4MOEV0ELGRv73Ei4Hhzq7nk72MnLT51mBBNJl5nVu3vuq5/l7N9MuNPXhVvKogQgIpJRGgxORCSjaqkNYDDhtcBn6N1rUkRECmsgvA32B2KDIkJtJYAphEG7RESkfG8mdLx8US0lgGcAtm59ga4utVuIiJSivr6O/fbbF6JraFwtJYBOgK6ubiUAEZHy7VF1rkZgEZGMUgIQEcmoRKuAzGwsYcCvnrlbz45+zo9+znP32UnGICIi+SX9BPBp4KfuPo3Qdf+LhGF6ZxG64k83s/EJxyCSqNbWrVx55Td47rnWtEMRKUvSjcDPAkdHg3sdQ5g0+73uvgjAzJYQZkeaW+oBR48e1vdGIgPol7+cx+OPO0uX3smFF16YdjgiJUs6AcwnTP13CaEjwo8Jc5v2aKX3gFR92ry5TW8BSdVobd3KsmXL6O7uZunSZZx88jsZMaKv6QpEBk59fV3BG+ekq4C+RpiM+kpgBvADeo/y2EzvYXBFasrChbe9eEPS1dXFHXeUOjK0SPqSTgAjgMnR55MIY6FvMbNx0bLJwNqEYxBJzOrVK+nsDHOndHZ2sHr1ypQjEild0glgFnCxmW0nzIT0JeBqwtjp1xKGd7gz4RhEEnPsscfT0NAAQENDA8cee3zKEYmULtE2AHf/M/CG3OVmtoZw9z/T3dv22FGkRpx22rtZvvx3AHR3d3P66dNTjkikdKkMBeHuLUBLGucW6W89c2poag2pNeoJLFKBhQtvo64u/BnV1dWpEVhqihKASAVWr15JV1cYY6urq1ONwFJTlABEKhAagUNNakPDIDUCS01RAhCpwGmnvZv6+tCVpb6+Xo3AUlOUAEQqMHLkfhx++FEAHHnkkeoFLDVFCUCkQo8//hgA7o+lHIlIeZQARCrwyCMPs2PHDgB27NjBo4/+NeWIREqnBCBSgR/+8Lpe5dmzr00pEpHyKQGIVGD79heKlkWqmRKASAWGDt23aFmkmikBiFTgwgs/2av8iU98KqVIRMqnBCBSgSOPfO2Ld/1Dh+7LEUcclXJEIqVTAhCp0NlnfxSAj3zkvJQjESmPEoBIhdaseYy6ujoee+zRtEMRKYsSgEgFWlu3smLFPXR3d7NixT0891xr2iGJlEwJQKQCCxfeRkdHmBKyo6NDw0FLTUl0QhgzOxM4P7bofwMGzI/K89x9dpIxiCRp1aoVe5TPPvvclKIRKU+iTwDu/jN3n+bu04AvAL8G5hDmCj4OmG5m45OMQSRJPUNBFyqLVLOB/G39FnAe8IC7LwIwsyXANGBuqQcZPXpYIsGJ7I18PYHHjGlOKRqR8gxIAjCzNwPrgS3A07FVrcDYco61eXMbXV2afFWqwwEHHMg///mPXuWNG7elGJFIb/X1dQVvnAeqEfiTwH8A24HBseXNQN0AxSDS78aNm9CrPH78hAJbilSfxBOAmY0AjnL3B9y9E9hiZuOi1ZOBtUnHIJKUv/zloV7lhx9+qMCWItVnIKqA3g7EX5W4GlhgZquAKcCMAYhBJBGh0bc9pyxSGxL/bXX3+bz02ifufruZrSHc/c9097akYxBJioaDllqWyu2Ku7cALWmcW6Q/7b//GDZt2tirLFIr1BNYpAJ1dXVFyyLVTAlApAIbNz5btCxSzZQARCowduzBRcsi1UwJQKQC559/Ua/yjBkXpxSJSPmUAEQqMHz4iKJlkWqmBCBSgYULb+tV1nDQUkuUAEQqsHLliqJlkWqmBCBSgUGDBhUti1QzJQCRCqgnsNQyJQCRCuy//yuKlkWqmRKASAVyO/6qJ7DUEiUAkQrs2RP4nylFIlI+JQARkYxSAhARySglAJEK1Nc3FC2LVDMlAJEKDB8+vFd5xIjhBbYUqT4D0mvFzM4BTnD3j0XzAffMEDbP3WcPRAwiSWht3dqrvHXr1gJbilSfgZgU/lXA54DPRovmALOA44DpZjY+6RhEkpI7B7DmBJZakuhvq5nVA7cAjwAfNrNbgUnuvihavwSYBswt9ZijRw9LIFKRvdPZ2bFHecyY5pSiESlP0rcrZwNdhLv/VwMPAE/H1rcCY8s54ObNbXR1dfdbgCKVGDVqNFu2bO5V3rhxW4oRifRWX19X8MY56QQwBZjj7n8H/m5mW4AjYuubAXWdlJq151hA21OKRKR8SbcBPAocDmBmBwCHAI9GDcEAk4G1CccgkpidO3fmlHekFIlI+ZJ+AvgxcJOZrQJGAZ8HtgELomVTgBkJxyAiInkkmgDcfQdwVu5yM1tDuPuf6e5tScYgIiL5pfLOmru3AC1pnFukPzU0NNDZ2dmrLFIr1BNYpAKHHnp4r/Jhhx1RYEuR6qMEIFKBJ57wXuU1a7zAliLVRwlApAK7d3fklHenFIlI+ZQARCqS2ylRnRSldigBiFSgvr6+aFmkmum3VaQCgwY1Fi2LVDMlAJEK7NrVXrQsUs2UAEREMkoJQEQko5QARCowePCQomWRaqYEIFKBfffdt1d52LB9C2wpUn2UAEQqEJ8MBmDz5s0FthSpPkoAIiIZpQQgIpJRSgAiFVBPYKll+m0VqcCgQYOKlkWqWaK/rWb2KPBsVFwOzAHmR+V57j47yfOLJG3Xrl1FyyLVLLEEYGaHAE+4++mxZb8FZgGLgaVmdqe7r08qBhERKSzJJ4ATgdeZ2X2EqqbPAJPcfRGAmS0BpgFzyzno6NHD+jlMkf41Zkxz2iGIlCTJBPAo8A53bzGzE4Ergadj61uBseUedPPmNrq6NOa6VIempqZe1T5NTU1s3LgtxYhEequvryt445xkAnB33xF9fgg4ipfaAwCagboEzy+SuI6OjqJlkWqW5FtAs83s5Ojze4EHgC1mNi5aNhlYm+D5RRLX1dVVtCxSzZJ8ApgJ3Gpm1wBPARcAk4AFZrYKmALMSPD8IiJSRGIJwN3XAcflLF5nZmsId/8z3b0tqfOLiEhxJScAM9vX3V8osG6fWH1/Ue7eArSUel6RajZ48GDa29t7lUVqRUltAGbWBDxkZpPNbGTOuuOBXycRnEi16+4uXhapZiU9Abj7LjMbDlwKTDCzYcDvgIXAjcC5yYUoUr00J7DUsqJPAGZ2gplNjIrr3P1Mdz8emAq8HlgKXO/u9yYbpki1yn2TWW82S+3oqwroLGCJmT0NjDOzr5jZAsJQDouAw4CzzOzVCccpUqVy63xUByS1o68E8Hl3PxT4IPB74HRgAjDN3b/t7o8DVwA/TDZMkeo0duzBRcsi1ayvNoAZZvYB4F7gn8BjwHpgkZk58D/AkcDNiUYpVWflynu5777laYeRusbGxpxyE1ddNSulaKrDCSdM5fjjT0w7DClBX08Ai4GLCUM47AeMAm4DmqJ13wAedvefJhmkSLUaMmSfFz83NTUxZMiQFKMRKU9dd5H31szsbmA34cL/BmAF8HfgWOBQ4LeEZDDd3Z8tdJx+MhFYq8HgpNp8/etfZv36dcyc+S3GjZuQdjgivcQGg3sl8GSvdX3s+3+APwC3AH8ENgNfJbR0/TfwBPA14LJ+jVikhgwZsg+HHnqYLv5Sc/pKAB8DNgHPEAZzu49w998KnAB8293vJrwSKiIiNaRoI7C7Xw9gZoOBu4AdwCHAI+6+nfAEAPAvSQYpIiL9r9SewO1ATxfHJ4nVI5lZA/Aa4C/9HJuIiCSopARgZt8DHPi1u/8jZ/WFwPsJU0CKiEiNKHVCmGmEGb3uj8YEAsDMXk9oBP54/4cmIiJJKnk4aHe/mNAnAAAzmwr8CHifu3sCsYmISIJKTQDdAGZ2E9AJvInQDnCSu69PJjQREUlS0QRgZt8lDP/QFC26FxhKaBA+BXgP8L2+TmJmPye8RXQ3MD9aPM/dZ+9d2CIiUqm+2gDuAI4GDjKzq4A73P0Gd/8UYVrHyWZ2fbEDmNn7CYPIAcwBZhGmipxuZuMril5ERPZaX/0AlgPLzewLwEXAA2b2Rnff5u47zOzDwDIz+5i7z8nd38wOBD5PGC20AZjk7ouidUsIjctzywk46tIsUjUaGxsAGDOmOeVIRMpTahvAIOB5wp37WDP7KDDL3V8ws08BPyfc3ef6D+AzwNsIVUdPx9a1AmPLDVhjAUm12b27E4CNG7elHInInmJjAe25rq+dzexo4E/AJGBr9G8IYY7gD7n7X4Fj8ux3HtDi7vdFi7YD8Rmzm9H0SSIiqSnlCeAHhIlhbo/KzwKfjjqH3WRmnyA0COd6NzDSzO4hjOS5E9hhZuPcfQOhDWFhhfGLiMhe6jMBuPvUAsvXmdnbgVPcfUee9e/s+WxmMwmvjW4FFpjZKmAKMGPvwhYRkUqV3BEsLqr6udXduwlzAhTl7jNj+64h3P3PdPe2vTm/iIhUrs8EYGavcPdnzaye0PFrGfBl4Na9OaG7twAte7OviIj0n6KNwGb2b8AlsW2vjj7vTDIoERFJXl9vAbUABwK4ewewK/GIRERkQJScAHLoRXwRkRrXVxvABmCKmf0n4Z39idHnnp8Qngqud3dNCCMiUkOKPgG4+zbCEA7Lon/PEwZ02xb9vJswUNzXkg1TRET6WykTwmx395+5+0+BLfGf0ecbgYcTjVJERPpdKf0A2s1sUNQIvMfQDe5+P3B/v0cmIiKJKuUJoBMYZmaNhDGAQI3AIiI1r5QngPPdvRXAzE6LlmlMZhGRGtfnE4C73xv7/GT08bNJBSQiIgOjlKEgDia8CQQwyN3/H3CqmZ0U26zJ3T+dRIAiIpKMUqqAvgocEX1+HTCcMD9Az3AQ/w58sf9DExGRJJUyHPSLQzab2YPRsptjy77o7vPz7SsiItWrlLeA4vK9/aM3gkREalDRJwAzuxBoj4p1wCgzOze2SR0wKqHYREQkQX1VAY2n99DPg4FxOds0FTuAmQ0DjgeedfcHy45QREQSUTQBuPuX4mUze5e7fz13WaH9zawJuAtYDEw1s8XAr4CeNoN57j57bwIXEZHKJN0GcATwHXf/JvA54O3AHGAWcBww3czGlxmDiIj0g1L6AdxCqAqqA15jZnXAW4CesYEK9gp294eAh8zsMOByYB5wjbsvio69BJgGzC014NGj1QlZqktjY+gmM2ZMc8qRiJSnlH4AX4l9Hkyo8/84IQEA/LmEY7wFOBRoA56OLW8Fxpaw/4s2b26jq0svHkn12L27E4CNG7elHInInurr6wreOJfSD2BdnsUfKicAd/+hmS0j1P3HG42byTPCqIiIJK/cNoCymNl5ZnZlVBwNbAK2mFnPm0STgbVJxiAiIvmVUgVUiVuAuWa2kvA66UWAAQvMbBUwBZhRZH8REUlIognA3duBD+QsfszM1hDu/me6e1uSMYiISH5JPwHk5e4tQEsa5xYRkSDRNgAREaleSgAiIhmlBCAiklFKACIiGaUEICKSUUoAIiIZpQQgIpJRSgAiIhmlBCAiklFKACIiGaUEICKSUUoAIiIZpQQgIpJRSgAiIhmlBCAiklF13d01M8H6RGBtmpPC/+xnc9mwId8UyZJl69eH34nx4yekHIlUm3HjJnDmmR9ONYbYpPCvBJ6Mr0t0QhgzawZ+BgwG9gM+DmwmTA4PMM/dZycZQ3/asGEd/vgTNAwZmXYoUkW6OhsAeGLDppQjkWrSubM17RD6lPSMYGcDt7j7L8zsNGAmsA8wC1gMLDWzO919fcJx9JuGISMZOuGtaYchIlVu+7q70w6hT0nPCRy/u38F8Aww3d0XAZjZEmAaMLfUY0aPMqlobGxI7dwiUnsaGxsYM6Y57TAKGpA5gc1sf+BzwKnAMbFVrcDYco6VZhvA7t2dqZxXRGrT7t2dbNy4LdUYYm0Ae65L+uRm1gjcCnwReIrQHtCjGahLOgYREdlTognAzBoIjcC3u/sd7t4JbDGzcdEmk4G1ScYgIiL5JV0FdC7wTuAgM/sgsA64GlhgZquAKcCMhGMQEZE8km4Evgm4KXe5ma0h3P3PdPe2JGMQEZH8BqQROJe7twAtaZxbREQCDQUhIpJRSgAiIhmlBCAiklFKACIiGaUEICKSUam8BVSrnnuulc6drTUxyJOIpKtzZyvPPVfdl1g9AYiIZFR1p6cqM2LESDY+36HhoEWkT9vX3c2IEdU9d4ieAEREMkoJQEQko5QAREQySglARCSjlABERDJKCUBEJKOUAEREMkoJQEQkoxLvCBZNCn878G13vyeaD3h+tHqeu89OOgYREdlT0pPCDyJc/MfHFs8BZgHHAdPNbHy+fUVEJFkDMRTE+cAVAGbWAExy90VReQkwDZhb6sFGjx6WQIilaWxsSO3cIlJ7GhsbGDOmOe0wCkp6UvgO4Ckz61k0FHg6tkkrMLacY27e3EZXV3f/BFim3bs7UzmviNSm3bs72bhxW6ox1NfXFbxxHuhG4O3A4Fi5Gagb4BhERIQBTgDu3glsiRqCASYDawcyBhERCdIYDvpqYIGZrQKmADNSiEFEJPMGJAG4+zmxz7eb2RrC3f9Md28biBhERKS3VCaEcfcWoCWNc4uISKCewCIiGaUEICKSUUoAIiIZpQQgIpJRSgAiIhmVyltAtaxzZyvb192ddhhSRbo6dgJQP2hIypFINenc2Qrsn3YYRSkBlGHcuAlphyBVaP36dQCMH1fdf+wy0Pav+mtGXXd3OgOr7YWJwNo0B4MTyeeqq2YBcNlll6ccicieYoPBvRJ4ste6NAISEZH0KQGIiGSUEoCISEYpAYiIZJQSgIhIRikBiIhklBKAiEhGKQGIiGRUKj2Bzewy4APAs8BH3P2facQhIpJlA54AzOw44HTCfMBTgVnA+QMdh1Rm5cp7ue++5WmHURV6hoLo6RGcdSecMJXjjz8x7TCkBGk8AZwC3OrunWb2e+DacnaOujRLyoYP34fGxoa0w6gKo0ePAtD/R2T48H0YM6Y57TCkBGkkgGbgTwDu3m1m+5azs8YCqg5HHz2Fo4+eknYYUqU2btyWdggSiY0FtOe6AY4F4HkgftEfnkIMIiKZl0YCWA2cBGBm/wvYlEIMIiKZl0YCuBs4wsyuBX4BfD+FGEREMm/AE4C7dxKeAFYAn3T32QMdg4iIpNQPwN3bgV+lcW4REQnUE1hEJKOUAEREMqqWJoVvgPBOq4iIlCZ2zdyjp2ItJYCDAPbbr6x+YyIiEhwE/C2+oK67u2Z61Q4mjB/0DNCZciwiIrWigXDx/wPQHl9RSwlARET6kRqBRUQySglARCSjlABERDJKCUBEJKOUAEREMkoJQEQko5QAREQySglARCSjlABERDJKCUBEJKOUAEREMqqWRgMV6VdmdiWwwd2vL3H74cA44PDo3xXuXvJgWmbWBHS4e1eeddcBd7v7r0s9nkillAAkM8xsIvBNd//XaNFOYqMjmtmNwCx332BmU4EbCX8jTcBQwii0fwT+Ef07IPqJmd0O7AdsByYB7wP+C1gTC6EJOM/MNhGmRH0B6EkG44BTzOyCqDwoOucH3H1DP/0XiPSiBCBZM6HIuiN4adKMFcCxQJu77zKzs4C3ufs5BfZtB8519yfM7E+E5LLE3c/Kt7GZnQiMB4YDFwBXA5uAa4BZwINAu7vvKOfLiZRDbQAi+XUTXfzzrTSzRjOLz7BUDxxuZpOAxmj/YoYBt7n7n4HlwFzgLqAVaAFmAqdU9A1E+qAnAMmSwcAkM3soKh8I7DKzi6Pya3jpb2IisNDM2gkX81HAcDP7Y7S+CbgUWBKVfwO8DZgO/CRadmps+9HAfHe/LCp3Ah1mNo3wpDGNMFvT2cBHgQ408ZEkTAlAsmQdMMLdOwHMbCbwlLvPyd3Q3dcCR/WUS6gCWkqo13+du19uZm8EFvdUAZnZOYQE06OeUE10RVS+E3g255gLy/lyIuVSApAs+QkwB1iWb2V0kZ4MLCbUxb8QW537BACwD/Atd/8pcA/wRuD1ZvYg8Ns8p3hxdm53fx44ITpvPaHaZ4a7P7IX30tkrygBSJZ0RP8K2QnscvfFhCTwohKeAHqO/aC7T4ueAJbEqpsAbo4dbyXh7283obqpHbjBzOLHnOjuh5TwvUT2ihKASDKagEWF3gIiXPjfAxwJfBN4ByEJfAe4391vMbPHBiRSySwlAMmSIcAcM2uLyrmNwCMJ9fi9mNmxwFuBQm8EjYqOfSnwBjP7K7CgxJguITQyfx/YQminOMPM5hOrMhJJghKAZIa7v7fYejP7IHBcnlWnACOArxfY9SRgNeDAUe6+zsyOARbktBkMBb7n7jcREgbufkaeOA4G/hwdTyQxdd3dJfdkF5EBYmb1+YaMEOlPSgAiIhmlnsAiIhmlBCAiklFKACIiGaUEICKSUUoAIiIZ9f8BKqEMANqkeu0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绘制箱型图\n",
    "plt.figure(figsize = (6,4))\n",
    "sns.boxplot(data = raw,y = 'shot_distance')\n",
    "plt.xlabel('出手距离');plt.ylabel('出手次数');plt.title('科比出手距离的分布')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由上图可以看出科比在篮下的出手最多，大约有6000次，大约75%的出手为2分球，25%的三分球。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'shot_zone_range')"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#可视化科比的出手区域，按照不同的标准划分的出手区域\n",
    "import matplotlib.cm as cm\n",
    "plt.figure(figsize  = (20,10))\n",
    "\n",
    "def scatter_plot_by_category(feat):\n",
    "    alpha = 0.1\n",
    "    gs = raw.groupby(feat)\n",
    "    cs = cm.rainbow(np.linspace(0,1,len(gs)))\n",
    "    for g,c in zip(gs,cs):\n",
    "        plt.scatter(g[1].loc_x,g[1].loc_y,color = c,alpha = alpha)\n",
    "        \n",
    "plt.subplot(1,3,1)\n",
    "scatter_plot_by_category(raw['shot_zone_area'])\n",
    "plt.title('shot_zone_area')\n",
    "\n",
    "plt.subplot(1,3,2)\n",
    "scatter_plot_by_category(raw['shot_zone_basic'])\n",
    "plt.title('shot_zone_basic')\n",
    "\n",
    "plt.subplot(1,3,3)\n",
    "scatter_plot_by_category(raw['shot_zone_range'])\n",
    "plt.title('shot_zone_range')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    30697.000000\n",
       "mean        13.437437\n",
       "std          9.374189\n",
       "min          0.000000\n",
       "25%          5.000000\n",
       "50%         15.000000\n",
       "75%         21.000000\n",
       "max         79.000000\n",
       "Name: shot_distance, dtype: float64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw['shot_distance'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.双变量分系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(25697, 25)\n"
     ]
    }
   ],
   "source": [
    "#将shot_made_falg非空的数据集提出来，也就是我们的训练集\n",
    "kobe = raw[pd.notnull(raw['shot_made_flag'])]\n",
    "print(kobe.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "kobe['shot_made_flag'] = kobe['shot_made_flag'].astype(np.object)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '科比的出手命中率')"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#查看科比的出手命中率\n",
    "plt.figure(figsize = (6,4))\n",
    "kobe['shot_made_flag'].value_counts(normalize = True).plot(kind = 'bar')\n",
    "plt.xlabel('命中情况');plt.ylabel('命中个数');plt.title('科比的出手命中率')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "该样本只是整个数据集中的部分样本，不能反映出其职业生涯的真实命中率。可以看出科比的出手命中率大约为44%，还是挺高的命中率。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x291b680c4e0>"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#观察不同出手类型与命中率之间的关系\n",
    "\n",
    "sns.barplot(data = kobe,x = 'combined_shot_type',y = 'shot_made_flag')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由上图可知，命中率从高往低依次为：扣篮-擦板-上篮-勾手-跳投-补篮"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x291b758ddd8>"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#观察两分球与三分球的命中率\n",
    "\n",
    "sns.barplot(data = kobe,x = 'shot_type',y = 'shot_made_flag')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "shot_type       shot_made_flag\n",
       "2PT Field Goal  0.0               0.522652\n",
       "                1.0               0.477348\n",
       "3PT Field Goal  0.0               0.670732\n",
       "                1.0               0.329268\n",
       "Name: shot_made_flag, dtype: float64"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kobe.groupby('shot_type')['shot_made_flag'].value_counts(normalize = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由上述结果可以看出科比的两分球命中率为47.7%，三分球的命中率为32.9%。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x291b812ff28>"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#观察出手距离与命中率之间的关系\n",
    "sns.scatterplot(data = kobe, x = 'shot_distance',y = 'shot_made_flag' )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x291bb25ee48>"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(data = kobe, y = 'shot_distance',x = 'shot_made_flag' )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由上图可以看出，出手距离越远，命中率越低，出手超过43英尺的都没有命中。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.数据预处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>action_type</th>\n",
       "      <th>combined_shot_type</th>\n",
       "      <th>game_event_id</th>\n",
       "      <th>game_id</th>\n",
       "      <th>lat</th>\n",
       "      <th>loc_x</th>\n",
       "      <th>loc_y</th>\n",
       "      <th>lon</th>\n",
       "      <th>minutes_remaining</th>\n",
       "      <th>period</th>\n",
       "      <th>...</th>\n",
       "      <th>shot_type</th>\n",
       "      <th>shot_zone_area</th>\n",
       "      <th>shot_zone_basic</th>\n",
       "      <th>shot_zone_range</th>\n",
       "      <th>team_id</th>\n",
       "      <th>team_name</th>\n",
       "      <th>game_date</th>\n",
       "      <th>matchup</th>\n",
       "      <th>opponent</th>\n",
       "      <th>shot_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>10</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.9723</td>\n",
       "      <td>167</td>\n",
       "      <td>72</td>\n",
       "      <td>-118.1028</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Right Side(R)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>12</td>\n",
       "      <td>20000012</td>\n",
       "      <td>34.0443</td>\n",
       "      <td>-157</td>\n",
       "      <td>0</td>\n",
       "      <td>-118.4268</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Left Side(L)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>8-16 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>35</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.9093</td>\n",
       "      <td>-101</td>\n",
       "      <td>135</td>\n",
       "      <td>-118.3708</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Left Side Center(LC)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>43</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.8693</td>\n",
       "      <td>138</td>\n",
       "      <td>175</td>\n",
       "      <td>-118.1318</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Right Side Center(RC)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Driving Dunk Shot</td>\n",
       "      <td>Dunk</td>\n",
       "      <td>155</td>\n",
       "      <td>20000012</td>\n",
       "      <td>34.0443</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-118.2698</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Restricted Area</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         action_type combined_shot_type  game_event_id   game_id      lat  \\\n",
       "0          Jump Shot          Jump Shot             10  20000012  33.9723   \n",
       "1          Jump Shot          Jump Shot             12  20000012  34.0443   \n",
       "2          Jump Shot          Jump Shot             35  20000012  33.9093   \n",
       "3          Jump Shot          Jump Shot             43  20000012  33.8693   \n",
       "4  Driving Dunk Shot               Dunk            155  20000012  34.0443   \n",
       "\n",
       "   loc_x  loc_y       lon  minutes_remaining  period  ...       shot_type  \\\n",
       "0    167     72 -118.1028                 10       1  ...  2PT Field Goal   \n",
       "1   -157      0 -118.4268                 10       1  ...  2PT Field Goal   \n",
       "2   -101    135 -118.3708                  7       1  ...  2PT Field Goal   \n",
       "3    138    175 -118.1318                  6       1  ...  2PT Field Goal   \n",
       "4      0      0 -118.2698                  6       2  ...  2PT Field Goal   \n",
       "\n",
       "          shot_zone_area  shot_zone_basic  shot_zone_range     team_id  \\\n",
       "0          Right Side(R)        Mid-Range        16-24 ft.  1610612747   \n",
       "1           Left Side(L)        Mid-Range         8-16 ft.  1610612747   \n",
       "2   Left Side Center(LC)        Mid-Range        16-24 ft.  1610612747   \n",
       "3  Right Side Center(RC)        Mid-Range        16-24 ft.  1610612747   \n",
       "4              Center(C)  Restricted Area  Less Than 8 ft.  1610612747   \n",
       "\n",
       "            team_name   game_date    matchup opponent  shot_id  \n",
       "0  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        1  \n",
       "1  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        2  \n",
       "2  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        3  \n",
       "3  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        4  \n",
       "4  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        5  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 30697 entries, 0 to 30696\n",
      "Data columns (total 25 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   action_type         30697 non-null  object \n",
      " 1   combined_shot_type  30697 non-null  object \n",
      " 2   game_event_id       30697 non-null  int64  \n",
      " 3   game_id             30697 non-null  int64  \n",
      " 4   lat                 30697 non-null  float64\n",
      " 5   loc_x               30697 non-null  int64  \n",
      " 6   loc_y               30697 non-null  int64  \n",
      " 7   lon                 30697 non-null  float64\n",
      " 8   minutes_remaining   30697 non-null  int64  \n",
      " 9   period              30697 non-null  int64  \n",
      " 10  playoffs            30697 non-null  int64  \n",
      " 11  season              30697 non-null  object \n",
      " 12  seconds_remaining   30697 non-null  int64  \n",
      " 13  shot_distance       30697 non-null  int64  \n",
      " 14  shot_made_flag      25697 non-null  float64\n",
      " 15  shot_type           30697 non-null  object \n",
      " 16  shot_zone_area      30697 non-null  object \n",
      " 17  shot_zone_basic     30697 non-null  object \n",
      " 18  shot_zone_range     30697 non-null  object \n",
      " 19  team_id             30697 non-null  int64  \n",
      " 20  team_name           30697 non-null  object \n",
      " 21  game_date           30697 non-null  object \n",
      " 22  matchup             30697 non-null  object \n",
      " 23  opponent            30697 non-null  object \n",
      " 24  shot_id             30697 non-null  int64  \n",
      "dtypes: float64(3), int64(11), object(11)\n",
      "memory usage: 5.9+ MB\n"
     ]
    }
   ],
   "source": [
    "raw.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "#删除对最终预测结果无影响的id特征\n",
    "\n",
    "drop_ids = ['game_event_id','game_id','team_id','shot_id']\n",
    "for feature in drop_ids:\n",
    "    raw = raw.drop(feature,axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "#创建一个新的特征time_remaining，用于替代minutes_remaining和seconds_remaining\n",
    "\n",
    "raw['time_remaining'] = raw['minutes_remaining']*60 + raw['seconds_remaining']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "#删除minutes_remaining和seconds_remaining特征\n",
    "\n",
    "raw = raw.drop(['minutes_remaining','seconds_remaining'],axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['2000-01', '2001-02', '2002-03', '2003-04', '2004-05', '2005-06',\n",
       "       '2006-07', '2007-08', '2008-09', '2009-10', '2010-11', '2011-12',\n",
       "       '2012-13', '2013-14', '2014-15', '2015-16', '1996-97', '1997-98',\n",
       "       '1998-99', '1999-00'], dtype=object)"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw['season'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 97,\n",
       "       98, 99,  0], dtype=int64)"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#将season数据处理为更简单易懂的格式\n",
    "raw['season'] = raw['season'].apply(lambda x:int(x.split('-')[1]))\n",
    "raw['season'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "#lat,lon,loc_x,loc_y表达的是相同的含义，删除lat,lon特征\n",
    "raw = raw.drop(['lat','lon'],axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "#action_type和combined_shot_type表达的含义相近，删除action_type\n",
    "raw = raw.drop(['action_type'],axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "#shot_zone_area,shot_zone_basic,shot_zone_range表达的也是相同的含义，保留一个就行\n",
    "raw = raw.drop(['shot_zone_basic','shot_zone_range'],axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "#team_name和game_date对最终的预测结果也没什么影响，删除这两个特征\n",
    "raw = raw.drop(['team_name','game_date'],axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "#matchup和opponent表达的是相同的意思，保留opponent就行\n",
    "raw = raw.drop('matchup',axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 30697 entries, 0 to 30696\n",
      "Data columns (total 12 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   combined_shot_type  30697 non-null  object \n",
      " 1   loc_x               30697 non-null  int64  \n",
      " 2   loc_y               30697 non-null  int64  \n",
      " 3   period              30697 non-null  int64  \n",
      " 4   playoffs            30697 non-null  int64  \n",
      " 5   season              30697 non-null  int64  \n",
      " 6   shot_distance       30697 non-null  int64  \n",
      " 7   shot_made_flag      25697 non-null  float64\n",
      " 8   shot_type           30697 non-null  object \n",
      " 9   shot_zone_area      30697 non-null  object \n",
      " 10  opponent            30697 non-null  object \n",
      " 11  time_remaining      30697 non-null  int64  \n",
      "dtypes: float64(1), int64(7), object(4)\n",
      "memory usage: 2.8+ MB\n"
     ]
    }
   ],
   "source": [
    "#查看当前数据集的信息\n",
    "raw.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "其中combined_shot_type,shot_type,shot_zone_area,opponent为object类型，对这几个特征做one_hot_enncoding编码。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>loc_x</th>\n",
       "      <th>loc_y</th>\n",
       "      <th>period</th>\n",
       "      <th>playoffs</th>\n",
       "      <th>season</th>\n",
       "      <th>shot_distance</th>\n",
       "      <th>shot_made_flag</th>\n",
       "      <th>time_remaining</th>\n",
       "      <th>combined_shot_type_Bank Shot</th>\n",
       "      <th>combined_shot_type_Dunk</th>\n",
       "      <th>...</th>\n",
       "      <th>opponent_PHI</th>\n",
       "      <th>opponent_PHX</th>\n",
       "      <th>opponent_POR</th>\n",
       "      <th>opponent_SAC</th>\n",
       "      <th>opponent_SAS</th>\n",
       "      <th>opponent_SEA</th>\n",
       "      <th>opponent_TOR</th>\n",
       "      <th>opponent_UTA</th>\n",
       "      <th>opponent_VAN</th>\n",
       "      <th>opponent_WAS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>167</td>\n",
       "      <td>72</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>627</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-157</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>0.0</td>\n",
       "      <td>622</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-101</td>\n",
       "      <td>135</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>1.0</td>\n",
       "      <td>465</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>138</td>\n",
       "      <td>175</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>0.0</td>\n",
       "      <td>412</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>379</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 55 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   loc_x  loc_y  period  playoffs  season  shot_distance  shot_made_flag  \\\n",
       "0    167     72       1         0       1             18             NaN   \n",
       "1   -157      0       1         0       1             15             0.0   \n",
       "2   -101    135       1         0       1             16             1.0   \n",
       "3    138    175       1         0       1             22             0.0   \n",
       "4      0      0       2         0       1              0             1.0   \n",
       "\n",
       "   time_remaining  combined_shot_type_Bank Shot  combined_shot_type_Dunk  ...  \\\n",
       "0             627                             0                        0  ...   \n",
       "1             622                             0                        0  ...   \n",
       "2             465                             0                        0  ...   \n",
       "3             412                             0                        0  ...   \n",
       "4             379                             0                        1  ...   \n",
       "\n",
       "   opponent_PHI  opponent_PHX  opponent_POR  opponent_SAC  opponent_SAS  \\\n",
       "0             0             0             1             0             0   \n",
       "1             0             0             1             0             0   \n",
       "2             0             0             1             0             0   \n",
       "3             0             0             1             0             0   \n",
       "4             0             0             1             0             0   \n",
       "\n",
       "   opponent_SEA  opponent_TOR  opponent_UTA  opponent_VAN  opponent_WAS  \n",
       "0             0             0             0             0             0  \n",
       "1             0             0             0             0             0  \n",
       "2             0             0             0             0             0  \n",
       "3             0             0             0             0             0  \n",
       "4             0             0             0             0             0  \n",
       "\n",
       "[5 rows x 55 columns]"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw = pd.get_dummies(raw)\n",
    "raw.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(30697, 55)"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "训练集的大小: (25697, 55)\n",
      "测试集的大小: (5000, 55)\n"
     ]
    }
   ],
   "source": [
    "#将数据集分为训练集和测试集\n",
    "\n",
    "train_data = raw[pd.notnull(raw['shot_made_flag'])]\n",
    "test_data = raw[pd.isnull(raw['shot_made_flag'])]\n",
    "\n",
    "print('训练集的大小:',train_data.shape)\n",
    "print('测试集的大小:',test_data.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由于该测试集没有标签，所以我们需要通过交叉验证的方式将训练集分为训练样本和验证样本，用验证集来评估模型的好坏。最终选取最好的模型，对测试样本进行预测。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "#准备数据，将训练数据分为特征个标签，删掉测试数据中的shot_made_flag列\n",
    "\n",
    "train_labels = train_data['shot_made_flag']\n",
    "train_features = train_data.drop('shot_made_flag',axis = 1)\n",
    "\n",
    "test_features = test_data.drop('shot_made_flag',axis = 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.建立随机森林模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 200 candidates, totalling 1000 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  33 tasks      | elapsed:   11.3s\n",
      "[Parallel(n_jobs=-1)]: Done 154 tasks      | elapsed:  1.1min\n",
      "[Parallel(n_jobs=-1)]: Done 357 tasks      | elapsed:  3.0min\n",
      "[Parallel(n_jobs=-1)]: Done 640 tasks      | elapsed:  6.5min\n",
      "[Parallel(n_jobs=-1)]: Done 1000 out of 1000 | elapsed: 12.2min finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "模型的训练时间734.3010377883911\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "import time\n",
    "\n",
    "#初始化一个随机森林模型\n",
    "RFC = RandomForestClassifier()\n",
    "\n",
    "#使用网格搜索gridsearchcv寻找最佳的模型参数\n",
    "param_grid = {'n_estimators':[40,80,120,160,200],\n",
    "             'max_depth':[3,4,5,6,7,8,9,10],\n",
    "             'min_samples_split':[3,4,5,6,7]}\n",
    "grid = GridSearchCV(RFC,param_grid = param_grid,cv = 5,verbose = 2,n_jobs = -1)\n",
    "t1 = time.time()\n",
    "grid.fit(train_features,train_labels)\n",
    "t2 = time.time()\n",
    "print('模型的训练时间{}'.format(t2 - t1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'max_depth': 5, 'min_samples_split': 4, 'n_estimators': 80}"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#打印最好的模型参数\n",
    "grid.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "best_model = grid.best_estimator_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_flag = best_model.predict(test_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0. 0. 1. 1. 0. 0. 1. 1. 1. 0.]\n"
     ]
    }
   ],
   "source": [
    "print(test_flag[:10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_data['shot_made_flag'] = test_flag"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "#将预测的结果存为CSV文件\n",
    "test_data.to_csv('kobe_prediction.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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